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Neuroscience and Artificial Intelligence

2022·3 Zitationen·Advances in computational intelligence and robotics book series
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3

Zitationen

2

Autoren

2022

Jahr

Abstract

AI can even outperform humans in many tasks such as winning games like Go and poker as well as engaging in creative endeavours in writing novels and music. Despite this, it is still a long way from building artificial human intelligence. Current AIs are only designed to excel in their intended functions and cannot generate knowledge to new tasks and situations. For AI to achieve artificial human intelligence requires us to study and understand the human brain. Neuroscience is the study of the anatomy and physiology of the human brain. It provides us interesting insights into how the brain works to develop better AI systems. Conversely, better AI systems can help drive neuroscience forward and further unlock the secrets of the brain. Neuroscience and AI are closely related. The synergy of the two will benefit each other. Besides the benefits of neuroscience for AI research, neuroscience also has important implications for machine learning. This chapter discusses the implications of neuroscience for general artificial intelligence and the benefits of AI for neuroscience research.

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Autoren

Institutionen

Themen

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and EducationArtificial Intelligence Applications
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